MicroWineBar

MicroWineBar analyzes species abundance tables derived from shotgun metagenomics to visualize and statistically characterize microbial community composition.


Key Features:

  • Data input and hierarchical data: Accepts tab-delimited files containing absolute or relative abundances with taxonomic annotations or other hierarchical data types, including species abundance tables from shotgun metagenomics.
  • Visualization: Produces line and bar graphs to display metagenomic sample abundances.
  • Richness and diversity analysis: Computes richness and diversity metrics for microbial community assessment.
  • Compositional data treatment: Treats abundance data as compositional and applies center log-ratio transformation for downstream analyses.
  • Multivariate and differential analysis: Performs Principal Component Analysis (PCA) and differential abundance analysis on CLR-transformed data.

Scientific Applications:

  • Wine fermentation studies: Comparative analysis of metagenomic data across two different years of wine fermentation to investigate microbial dynamics.
  • Human microbiome and disease research: Examination of human microbiome datasets related to colorectal cancer for differential and compositional analysis.

Methodology:

Accepts tab-delimited abundance tables with taxonomic or hierarchical annotations; treats abundance data as compositional and applies center log-ratio (CLR) transformation for PCA and differential abundance analysis; computes richness and diversity metrics and generates line and bar graph visualizations.

Topics

Details

License:
MIT
Tool Type:
command-line tool
Programming Languages:
Python
Added:
11/14/2019
Last Updated:
12/28/2020

Operations

Publications

Klincke F, Abel-Kistrup M, Saerens SMG, Rasmussen S. Analysing complex metagenomic data with MicroWineBar. Unknown Journal. 2019. doi:10.1101/742684.